{"title":"Tag Recommendation Method for Enhancing Web Novel Retrieval","authors":"Mutsuki Yamazaki, Kazufumi Inafuku, T. Satoh","doi":"10.1109/IIAI-AAI50415.2020.00019","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00019","url":null,"abstract":"A huge number of web novels i.e. user-generated novels, exist on the Internet. The increase in their number has cased crucial problems for both writers and readers; even if noteworthy, newly submitted novels are buried amidst existing ones and readers have difficulty locating suitable, relevant novels. Most web novel sites attach several tags to each novel to describe its themes, characters, genre and so on. These tags generally vary widely because they are attached by the individual writer without specific rules or uniformity. In this paper, we propose tag recommendation methods that enable readers to easily retrieve suitable novels. These recommended tags should express the contents of the novel, differ from each other, and be selected from tags attached to a sufficiently limited number of novels. To satisfy these requirements, we analyze the tag distributions in an actual web novel site. We vectorize the novels using Dov2Vec methods, and vectorize the tags from the novel’s vectors attached to the novels.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132748696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A designed platform for programming courses","authors":"Jia-Chi Liang, Jia-Yin Wang, Shen-Hung Chou","doi":"10.1109/IIAI-AAI50415.2020.00064","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00064","url":null,"abstract":"In programming courses, a good learning platform can reduce the teaching loads and improve the program learning efficiency. Currently, there are many online judge systems on the internet. These systems can automatically check the correctness of the programs submitted by a user, which is very helpful for program learning. However, most of the systems are designed specifically to solve programming problems, not for classroom instruction. After several years of teaching, we decided to design an online platform that is more suitable for our programming courses. The designed platform not only be able to check the correctness of the submitted codes, but also provides some features for teaching, including course management, student management, and problem management. In addition, it can check the format of the submitted code and provide feedback to help students develop a good coding habit. It also provides teachers with software broadcast function, and statistical data to examine the class learning performance. After a semester of testing, we did find that the platform is a very useful teaching tool.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133740159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analyzing the characteristics of first-year university students’ career awareness through free-writing reports","authors":"Yoko Nakazato, Tatsuya Tsumagari, Takashi Tsumagari","doi":"10.1109/IIAI-AAI50415.2020.00077","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00077","url":null,"abstract":"How does the mindset of students change when then experience unpredictable crises? This study examined the characteristics of first-year university students’ career awareness through quantitative text analysis of their free-writing reports. Correspondence analysis was conducted on the free-writing reports in Japanese (total 1,332,138 letters) of 2,652 first-year university students who studied career development during 2011–2019 at the Prefectural University of Kumamoto, Japan. The results showed that students who faced unpredictable circumstances due to the Kumamoto Earthquakes in 2016 had a higher tendency to think about their career development. They more frequently focused on striving for success through their own efforts than students in other years. Moreover, most of these students had engaged in activities both inside and outside their school campuses when they were in high school. These results suggest that unpredictable crises, such as the Kumamoto Earthquakes, can drive students who engage in activities both inside and outside their campuses to work independently, as well as provide them the opportunity to focus on their own abilities.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133839964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preliminary Annotation Results: Bargaining Roles for Bilateral Dialogues","authors":"Md. Alvee Islam Navid, K. Fujita","doi":"10.1109/IIAI-AAI50415.2020.00115","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00115","url":null,"abstract":"Negotiations are common; however, mining important aspects from such dialogues is challenging because the lack of a proper strategy and the use of predetermined words, as well as sentences, could lead to on-going disputes or failure. In addition, existing studies have focused on bargaining flows but have neglected the semantic and negotiation roles of negotiations. As a first step in negotiation mining, this paper proposes an annotation scheme to obtain the maximum number of labeled segments in negotiation sessions. We focus on the unique negotiation roles used to come to agreements in bilateral bargaining. We define five labels in the negotiations: Greet, Inquiry, Statement, DialogAct, and Other. These labels include attributes and features that consider the roles of the labels. We conducted the annotation by recruiting four annotators, who performed the annotations after reading the guidelines and attending several training meetings. After the dataset was divided into 876 dialogues, each dialogue was annotated by two annotators. We evaluate the Cohen kappa measures of the agreement between two annotations and achieve a sufficient score to analyze the negotiation roles in the dialogues. In particular, DialogAct, which is important to detect negotiation actions, achieved a high score with respect to understanding the flow of the negotiations.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115765464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Touch Valve UI with pseudo-haptics feedback based on vibration of tablet PC","authors":"H. Minowa, Chujia Zhang","doi":"10.1109/IIAI-AAI50415.2020.00097","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00097","url":null,"abstract":"Once an accident occurs, it will cause serious damage to the surroundings and loss of life and social trust.Therefore, researchers studies for training system using virtual reality (VR) technology. The advantage of VR training is that it can reproduce accidents in operating plants that cannot occur in the real world, and trainees can train how to deal with them. VR training requires immersion to make it more effective. However, there is not currently convenient interface in VR training such as a valve used in industrial plants. Most common interface in industrial plants is valve so that if there is gap between training interface and actual interface, user cannot obtain immersion, for example, in case that mouse or keyboard of PC are interface for training system.To solve this problem, we aim to develop touch valve user interface (UI) which operability and feedback are close to actual valve by using touch panel and vibration presentation instead of reaction force as pseudo-haptic feedback. That operability and feedback near to actual valve will cause user perceptual illusion and can keep them immerse in VR environment.This paper explains our think why the operability and feedback of our valve UI can approach to that of actual valve, and the result of questionnaire which asked whether the operability and feedback of our valve is near that of an actual valve when vibration generates or not. The result of the Student’s t-test for paired data was df = 12, t = −4.382, P = 0.001 (<5%). Calculation of the t-test confirmed that the vibration that our valve presented is significant for user to percept feedback like that from an actual valve.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115783473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction of Cooking Tips from a Recipe and Application to Another Recipe","authors":"Jun Fukumoto, Maho Kumokawa","doi":"10.1109/IIAI-AAI50415.2020.00013","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00013","url":null,"abstract":"There have been posted recipes to user-submitted recipe site, such as \"Cookpad\" or \"Rakuten Recipe\" and we can use them freely. Some recipes have tips of cooking and these are useful for better cooking. For example, it is written that if you sprinkle flour on meat, you can make it soft. However, tips of cooking are not always written on all recipes. We propose a method to extract tips of cooking from a recipe and apply them to another recipe. One recipe consists of in ingredients information and procedure of cooking. Tips of cooking is sometimes described in a part of procedure of cooking. We prepare several patterns to extract tips of cooking. In the evaluation of extracted tips of cooking, the accuracy was 79.4% in average. The result of apply tips of cooking to other recipes was 69.7% accuracy in average.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114669438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pichit Ngamjarussrivichai, Wuttipong Panitsettakorn, Phenpimon Wilairatana, P. Ongkunaruk, T. Konosu
{"title":"Designing a Social Commerce Diagnosis Techniques Based on Earned Value Management: Case Study of Thai Cosmetics Manufacturing Company","authors":"Pichit Ngamjarussrivichai, Wuttipong Panitsettakorn, Phenpimon Wilairatana, P. Ongkunaruk, T. Konosu","doi":"10.1109/IIAI-AAI50415.2020.00137","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00137","url":null,"abstract":"This research is conducted on the topic of Social Commerce Business Model taking on a case study of Thai Skin Care Product from Tech Transferred Purified Xanthone from Mangosteen Peel by using experimental research methodology for designing a system for social commerce diagnosis. In this study, Earned Value Management (EVM) is applied to evaluate cost management. Moreover, Business Diagnosis Tools and Scenario Analysis are utilized to analyze Return on Ads Spend (ROAS) in 3 cases: (1) Baseline Situation in which ROAS is set to be 5 times of revenue; (2) Best Situation in which ROAS is set to be 10 times of revenue; and (3) Worst Situation in which ROAS is set to be 2.5 times of revenue. The findings suggested an Operations Improvement Plan that affects the breakeven-point and the percentage of gross profit in this model.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125888052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Examination toward Development of Educational Content Using 3D Printer at a Jellyfish Aquarium*","authors":"Shoko Usui, A. Saito, H. Furukawa","doi":"10.1109/IIAI-AAI50415.2020.00164","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00164","url":null,"abstract":"The importance of using 3D printers is increasing in Japanese education. We have been exploring the development of educational content using 3D printers at a jellyfish aquarium. In university classes taught by one of the authors, he asked students to consider \"a system that allows anyone to create jellyfish-like creatures using a commercially available 3D printer.\" The students proved that such a system could produce soft jellyfish-like objects using a commercially available 3D printer. Furthermore, it was demonstrated that printed soft materials could be bonded with ordinary adhesive. In describing these approaches, we show that the use of 3D printers offers possibilities in expanding educational activities at aquariums.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129736325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Kato, Hiroyasu Usami, Y. Iwahori, A. Okazaki, B. Kijsirikul, N. Ogasawara, K. Kasugai
{"title":"Blood Vessel Structure Analysis in Endoscopic Images for Computer-Aided Diagnosis","authors":"S. Kato, Hiroyasu Usami, Y. Iwahori, A. Okazaki, B. Kijsirikul, N. Ogasawara, K. Kasugai","doi":"10.1109/IIAI-AAI50415.2020.00104","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00104","url":null,"abstract":"The number of people with colorectal cancer is increasing, and the establishment of a computer-aided diagnosis support system using endoscopic images is desired in medical practice. It is desired to realize computer-aided diagnosis for automated classification of benign/malignant polyps from the endoscope image. For cancer to grow, it is necessary to grow blood vessels, which serve as a supply path for supplying oxygen and nutrients to cancer cells so that accurate blood vessel structure analysis has potential importance. In this paper, by using the latent geometric information of blood vessels, a novel blood vessel analysis method is proposed for aiming to realize the computer-aided diagnosis of endoscopy.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"2 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127113680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ren Ando, Y. Iwahori, S. Fukui, Aili Wang, M. Bhuyan, T. Iwamoto, J. Ueda
{"title":"Detection of Cell Nuclei using LadderNet","authors":"Ren Ando, Y. Iwahori, S. Fukui, Aili Wang, M. Bhuyan, T. Iwamoto, J. Ueda","doi":"10.1109/IIAI-AAI50415.2020.00099","DOIUrl":"https://doi.org/10.1109/IIAI-AAI50415.2020.00099","url":null,"abstract":"Cytology which directly examines cells in the early detection of cancer plays an important role but this diagnosis depends on the experience and technology of a pathologist. The problem is that it takes time and the objectivity is poor. An automatic diagnosis system for pathologically diagnosing cancer is necessary to solve these problems. To classify cells into benign or malignant automatically, it is important to detect the cell nucleus from the cell image in advance. This paper proposes a new approach to detect cell nuclei for automatically using LadderNet which is a recent extension model of U-Net used in the Deep Learning Approach.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130738542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}